Fatigue Life Prediction of Rolling Bearings in New Energy Vehicle Reducers Based on Dynamic State Space Model
In response to the problem of significant differences between predicted results and actual life of rolling bearings in new energy vehicle reducers using existing prediction methods,a dynamic state space model is introduced to conduct research on fatigue life prediction of rolling bearings in new energy vehicle reducers.The dynamic state space model of rolling bearing for new energy vehicle reducer is established,parameter training and learning of the model is carried out,and fatigue life trend prediction of rolling bearing is completed by using the trained model.Through experiments,it has been proven that the new prediction method produces prediction results that are closer to reality and have higher prediction accuracy.
dynamic state space modelretarderfatigue liferolling bearingnew energy vehicles
NETL
NSTL
万方数据
